EP4237661A4 - Synthèse par apprentissage machine de données d'évaluation de formation - Google Patents

Synthèse par apprentissage machine de données d'évaluation de formation Download PDF

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Publication number
EP4237661A4
EP4237661A4 EP21887584.7A EP21887584A EP4237661A4 EP 4237661 A4 EP4237661 A4 EP 4237661A4 EP 21887584 A EP21887584 A EP 21887584A EP 4237661 A4 EP4237661 A4 EP 4237661A4
Authority
EP
European Patent Office
Prior art keywords
machine learning
evaluation data
training evaluation
learning synthesis
synthesis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21887584.7A
Other languages
German (de)
English (en)
Other versions
EP4237661A1 (fr
Inventor
Crispin CHATAR
Priya MISHRA
Cheolkyun JEONG
Velizar VESSELINOV
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Services Petroliers Schlumberger SA
Geoquest Systems BV
Original Assignee
Services Petroliers Schlumberger SA
Geoquest Systems BV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Services Petroliers Schlumberger SA, Geoquest Systems BV filed Critical Services Petroliers Schlumberger SA
Publication of EP4237661A1 publication Critical patent/EP4237661A1/fr
Publication of EP4237661A4 publication Critical patent/EP4237661A4/fr
Pending legal-status Critical Current

Links

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E21B49/003—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells by analysing drilling variables or conditions
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/094—Adversarial learning
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2200/00—Details of seismic or acoustic prospecting or detecting in general
    • G01V2200/10—Miscellaneous details
    • G01V2200/16—Measure-while-drilling or logging-while-drilling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Geophysics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
EP21887584.7A 2020-10-30 2021-10-29 Synthèse par apprentissage machine de données d'évaluation de formation Pending EP4237661A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202063198633P 2020-10-30 2020-10-30
PCT/US2021/057196 WO2022094176A1 (fr) 2020-10-30 2021-10-29 Synthèse par apprentissage machine de données d'évaluation de formation

Publications (2)

Publication Number Publication Date
EP4237661A1 EP4237661A1 (fr) 2023-09-06
EP4237661A4 true EP4237661A4 (fr) 2024-10-02

Family

ID=81384351

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21887584.7A Pending EP4237661A4 (fr) 2020-10-30 2021-10-29 Synthèse par apprentissage machine de données d'évaluation de formation

Country Status (3)

Country Link
US (1) US12585040B2 (fr)
EP (1) EP4237661A4 (fr)
WO (1) WO2022094176A1 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115220101B (zh) * 2022-06-21 2024-07-19 中国石油大学(华东) 一种深层碎屑岩砂体沉积结构的建模方法
FR3140647A1 (fr) * 2022-10-10 2024-04-12 IFP Energies Nouvelles Procédé pour prédire une diagraphie pendant le forage d’un puits
WO2024145003A1 (fr) * 2022-12-29 2024-07-04 Schlumberger Technology Corporation Systèmes et procédés de génération de diagraphie numérique aux rayons gamma à l'aide d'un apprentissage automatique informé de la physique
US20250013950A1 (en) * 2023-07-06 2025-01-09 ETAK Systems, LLC Systems and methods for managing completed jobs associated with a plurality of customers

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150300151A1 (en) * 2014-02-13 2015-10-22 Shahab D. Mohaghegh System and method providing real-time assistance to drilling operation
US20190169986A1 (en) * 2014-06-06 2019-06-06 Quantico Energy Solutions, Llc Real-time synthetic logging for optimization of drilling, steering, and stimulation
CA3122686A1 (fr) * 2018-12-11 2020-06-18 Exxonmobil Upstream Research Company Modelisation de reservoir automatisee au moyen de reseaux generatifs profonds
US20200340351A1 (en) * 2019-04-29 2020-10-29 Peter R. Harvey At-Bit Sensing of Rock Lithology

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10352158B2 (en) * 2011-03-03 2019-07-16 Baker Hughes, A Ge Company, Llc Synthetic formation evaluation logs based on drilling vibrations
US9022140B2 (en) 2012-10-31 2015-05-05 Resource Energy Solutions Inc. Methods and systems for improved drilling operations using real-time and historical drilling data
US20180349526A1 (en) * 2016-06-28 2018-12-06 Cognata Ltd. Method and system for creating and simulating a realistic 3d virtual world
US20200188732A1 (en) * 2017-03-29 2020-06-18 Benjamin Douglas Kruger Wearable Body Monitors and System for Analyzing Data and Predicting the Trajectory of an Object
AU2018317919A1 (en) 2017-08-18 2020-01-30 Landmark Graphics Corporation Rate of penetration optimization for wellbores using machine learning
EP3762584A4 (fr) * 2018-03-09 2021-12-22 ConocoPhillips Company Système et procédé de détection d'événements de fond de trou
GB2597429B (en) * 2019-09-12 2023-07-12 Landmark Graphics Corp Geological feature detection using generative adversarial neural networks
US20210089897A1 (en) * 2019-09-24 2021-03-25 Quantico Energy Solutions Llc High-resolution earth modeling using artificial intelligence
US11781416B2 (en) * 2019-10-16 2023-10-10 Saudi Arabian Oil Company Determination of elastic properties of a geological formation using machine learning applied to data acquired while drilling
US12353807B2 (en) * 2020-09-09 2025-07-08 Landmark Graphics Corporation Automated reservoir model prediction using ML/AI intergrating seismic, well log and production data

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150300151A1 (en) * 2014-02-13 2015-10-22 Shahab D. Mohaghegh System and method providing real-time assistance to drilling operation
US20190169986A1 (en) * 2014-06-06 2019-06-06 Quantico Energy Solutions, Llc Real-time synthetic logging for optimization of drilling, steering, and stimulation
CA3122686A1 (fr) * 2018-12-11 2020-06-18 Exxonmobil Upstream Research Company Modelisation de reservoir automatisee au moyen de reseaux generatifs profonds
US20200340351A1 (en) * 2019-04-29 2020-10-29 Peter R. Harvey At-Bit Sensing of Rock Lithology

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
OSAROGIAGBON AUGUSTINE UHUNOMA ET AL: "Gamma ray log generation from drilling parameters using deep learning", JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, ELSEVIER, AMSTERDAM, NL, vol. 195, 9 September 2020 (2020-09-09), XP086331280, ISSN: 0920-4105, [retrieved on 20200909], DOI: 10.1016/J.PETROL.2020.107906 *
See also references of WO2022094176A1 *

Also Published As

Publication number Publication date
US20230408723A1 (en) 2023-12-21
WO2022094176A1 (fr) 2022-05-05
EP4237661A1 (fr) 2023-09-06
US12585040B2 (en) 2026-03-24

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